Big Problems for Big Data

Big Problems for Big Data

Big Shoes 85% of respondents say their data footprint is larger than one terabyte.

Memo to CIOs: Your IT teams really want to help you tackle big data. After all, such projects serve an essential purpose in supporting organizational goals. And, yes, knocking this kind of undertaking out of the park looks great on your resume. But, unfortunately, most of these big data efforts never get completed, thanks to a myriad of unresolved issues. For starters, companies too often fail to accurately determine the project’s scope, and leave CIOs and IT departments with inadequate resources and staffing to get the job done. “Often, those charged with implementation are the last consulted,” says Jim Kaskade, CEO of Infochimps, which helps companies deploy big data environments in public, private and virtual private clouds. “CIOs need more insight into the too-often overlooked views of those charged with the heavy lifting, and companies need to start with the business problem first to properly scope their projects.” More than 300 IT department staffers–most of whom have a big data project currently underway–took part in the research. To call up an infographic on the survey, click here